Hilbert Transform - Dominant Cycle Phase

HT_DCPHASE identifies the dominant cycle phase using Hilbert Transform.

Method

tm.ta.ht_dcphase(source)

Inputs

Parameter	Argument type	Description	Default Value
source	pd.Series	Input data series	-

Outputs

Output	Type
ht_dcphase	np.ndarray

Example usage

strategy.py

import tradomate as tm

@tm.strategy()
def my_strategy(config: tm.TradomateConfig, data: tm.TradomateData):

    # Trying out Hilbert Transform - Dominant Cycle Phase
    ht_dcphase = tm.ta.ht_dcphase(data.close)

    # Get the last value and print
    last_value = ht_dcphase.iloc[-1]
    tm.log(f"Last value of Hilbert Transform - Dominant Cycle Phase is {last_value}")

    # Plot the values of ht_dcphase
    tm.plot(ht_dcphase, title="Hilbert Transform - Dominant Cycle Phase", overlay=False)